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Ajouter au panierEtat : New. Charles ByrneIterative Optimization in Inverse Problems brings together a number of important iterative algorithms for medical imaging, optimization, and statistical estimation. It incorporates recent work that has not appeared in ot.
Edité par Taylor and Francis Inc, US, 2014
ISBN 10 : 1482222337 ISBN 13 : 9781482222333
Langue: anglais
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Ajouter au panierHardback. Etat : New. Iterative Optimization in Inverse Problems brings together a number of important iterative algorithms for medical imaging, optimization, and statistical estimation. It incorporates recent work that has not appeared in other books and draws on the author's considerable research in the field, including his recently developed class of SUMMA algorithms. Related to sequential unconstrained minimization methods, the SUMMA class includes a wide range of iterative algorithms well known to researchers in various areas, such as statistics and image processing. Organizing the topics from general to more specific, the book first gives an overview of sequential optimization, the subclasses of auxiliary-function methods, and the SUMMA algorithms. The next three chapters present particular examples in more detail, including barrier- and penalty-function methods, proximal minimization, and forward-backward splitting. The author also focuses on fixed-point algorithms for operators on Euclidean space and then extends the discussion to include distance measures other than the usual Euclidean distance. In the final chapters, specific problems illustrate the use of iterative methods previously discussed. Most chapters contain exercises that introduce new ideas and make the book suitable for self-study.Unifying a variety of seemingly disparate algorithms, the book shows how to derive new properties of algorithms by comparing known properties of other algorithms. This unifying approach also helps researchers-from statisticians working on parameter estimation to image scientists processing scanning data to mathematicians involved in theoretical and applied optimization-discover useful related algorithms in areas outside of their expertise.
Edité par Taylor & Francis Inc Feb 2014, 2014
ISBN 10 : 1482222337 ISBN 13 : 9781482222333
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Ajouter au panierBuch. Etat : Neu. Neuware - This book brings together a number of important iterative algorithms for medical imaging, optimization, and statistical estimation. It incorporates recent work that has not appeared in other books and draws on the author's considerable research in the field, including his recently developed class of SUMMA algorithms. Related to sequential unconstrained minimization methods, the SUMMA class includes a wide range of iterative algorithms well known to researchers in various areas, such as statistics and image processing.
Edité par Apple Academic Press Inc., 2014
ISBN 10 : 1482222337 ISBN 13 : 9781482222333
Langue: anglais
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Ajouter au panierEtat : New. Series: Monographs and Research Notes in Mathematics. Num Pages: 300 pages, 6 black & white illustrations. BIC Classification: PBKJ. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 240 x 158 x 21. Weight in Grams: 558. . 2014. Hardcover. . . . . Books ship from the US and Ireland.
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Ajouter au panierBuch. Etat : Neu. Iterative Optimization in Inverse Problems | Charles Byrne | Buch | Einband - fest (Hardcover) | Englisch | 2014 | Taylor & Francis Inc | EAN 9781482222333 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Edité par Taylor and Francis Inc, US, 2014
ISBN 10 : 1482222337 ISBN 13 : 9781482222333
Langue: anglais
Vendeur : Rarewaves.com UK, London, Royaume-Uni
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Ajouter au panierHardback. Etat : New. Iterative Optimization in Inverse Problems brings together a number of important iterative algorithms for medical imaging, optimization, and statistical estimation. It incorporates recent work that has not appeared in other books and draws on the author's considerable research in the field, including his recently developed class of SUMMA algorithms. Related to sequential unconstrained minimization methods, the SUMMA class includes a wide range of iterative algorithms well known to researchers in various areas, such as statistics and image processing. Organizing the topics from general to more specific, the book first gives an overview of sequential optimization, the subclasses of auxiliary-function methods, and the SUMMA algorithms. The next three chapters present particular examples in more detail, including barrier- and penalty-function methods, proximal minimization, and forward-backward splitting. The author also focuses on fixed-point algorithms for operators on Euclidean space and then extends the discussion to include distance measures other than the usual Euclidean distance. In the final chapters, specific problems illustrate the use of iterative methods previously discussed. Most chapters contain exercises that introduce new ideas and make the book suitable for self-study.Unifying a variety of seemingly disparate algorithms, the book shows how to derive new properties of algorithms by comparing known properties of other algorithms. This unifying approach also helps researchers-from statisticians working on parameter estimation to image scientists processing scanning data to mathematicians involved in theoretical and applied optimization-discover useful related algorithms in areas outside of their expertise.
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Ajouter au panierEtat : New. pp. 304 This item is printed on demand.